Isaacson

Results: 119



#Item
11Samuel A. Isaacson - Short CV C ONTACT I NFORMATION Department of Mathematics and Statistics Boston University

Samuel A. Isaacson - Short CV C ONTACT I NFORMATION Department of Mathematics and Statistics Boston University

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Source URL: math.bu.edu

Language: English - Date: 2015-11-23 10:37:21
    12SEASONDE DETECTION OF TSUNAMI WAVES Belinda Lipa, John Bourg, Jimmy Isaacson, Don Barrick, and Laura Pederson1 I. INTRODUCTION We here report on preliminary results of a study to assess the capability of a SeaSonde to de

    SEASONDE DETECTION OF TSUNAMI WAVES Belinda Lipa, John Bourg, Jimmy Isaacson, Don Barrick, and Laura Pederson1 I. INTRODUCTION We here report on preliminary results of a study to assess the capability of a SeaSonde to de

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    Source URL: support.codar.com

    Language: English - Date: 2014-02-03 22:54:00
      13The Influence of Spatial Variation in Chromatin Density Determined by X-ray Tomograms on the Time to Find DNA Binding Sites Samuel A. Isaacson∗ Department of Mathematics and Statistics, Boston University, Boston, MA Ca

      The Influence of Spatial Variation in Chromatin Density Determined by X-ray Tomograms on the Time to Find DNA Binding Sites Samuel A. Isaacson∗ Department of Mathematics and Statistics, Boston University, Boston, MA Ca

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      Source URL: math.bu.edu

      Language: English - Date: 2015-09-13 17:28:40
        14A Comparison of Bimolecular Reaction Models for Stochastic Reaction Diffusion Systems I. C. Agbanusi∗ and S. A. Isaacson† Abstract Stochastic reaction-diffusion models have become an important tool in studying how bo

        A Comparison of Bimolecular Reaction Models for Stochastic Reaction Diffusion Systems I. C. Agbanusi∗ and S. A. Isaacson† Abstract Stochastic reaction-diffusion models have become an important tool in studying how bo

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        Source URL: math.bu.edu

        Language: English - Date: 2015-09-13 17:25:24
          15Stochastic Reaction-Diffusion Methods for Modeling Gene Expression and Spatially Distributed Chemical Kinetics  Samuel A. Isaacson

          Stochastic Reaction-Diffusion Methods for Modeling Gene Expression and Spatially Distributed Chemical Kinetics Samuel A. Isaacson

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          Source URL: math.bu.edu

          Language: English - Date: 2015-09-13 17:28:18
            16Influence of Nuclear Substructure on Gene Regulation and Expression Samuel Isaacson in collaboration with: Carolyn Larabell (UCSF/LBL), David McQueen (NYU),

            Influence of Nuclear Substructure on Gene Regulation and Expression Samuel Isaacson in collaboration with: Carolyn Larabell (UCSF/LBL), David McQueen (NYU),

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            Source URL: math.bu.edu

            Language: English - Date: 2015-09-13 17:36:02
              17David Isaacson _________________ Creating Your Own Destiny “Tomorrow is the new millennium. Do you like your job? Do you like your life? Are you

              David Isaacson _________________ Creating Your Own Destiny “Tomorrow is the new millennium. Do you like your job? Do you like your life? Are you

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              Source URL: www.executiveleadersradio.com

              Language: English - Date: 2015-08-31 16:04:06
                18Problems that led me to Gunther Uhlmann David Isaacson RPI  1. Inverse problem in

                Problems that led me to Gunther Uhlmann David Isaacson RPI 1. Inverse problem in

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                Source URL: www.math.purdue.edu

                - Date: 2012-06-22 08:38:49
                  19A Stochastic Reaction-Diffusion Active Transport Method for Studying the Control of Gene Expression in Eukaryotic Cells. Samuel A. 1 Isaacson ,

                  A Stochastic Reaction-Diffusion Active Transport Method for Studying the Control of Gene Expression in Eukaryotic Cells. Samuel A. 1 Isaacson ,

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                  Source URL: math.bu.edu

                  Language: English - Date: 2015-09-13 17:24:19
                    20A Stochastic Reaction–Diffusion Method for Studying the Control of Gene Expression in Eukaryotic Cells Samuel A. Isaacson (), Charles S. Peskin () Courant Institute of Mathematic

                    A Stochastic Reaction–Diffusion Method for Studying the Control of Gene Expression in Eukaryotic Cells Samuel A. Isaacson (), Charles S. Peskin () Courant Institute of Mathematic

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                    Source URL: math.bu.edu

                    Language: English - Date: 2015-09-13 17:24:23